The Higher Order Neural Network
Adaptive higher order neural network models and their applications in business
... Artificial Neural Networks ( ANNs) have been widely used in ap- plications such as bankruptcy prediction, predicting costs, forecasting revenue, forecasting share prices and exchange rates, processing documents ...
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A novel Chemical Reaction Optimization based Higher order Neural Network (CRO-HONN) for nonlinear classification
... based higher order neural network with a single hidden layer called Pi–Sigma Neural Network (PSNN) has been proposed for data classification which maintains fast learning ...
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Forecasting currency exchange rate time series with fireworks-algorithm-based higher order neural network with special attention to training data enrichment
... artificial neural networks(ANNs) [48], support vector machines (SVMs) [25], fuzzy neural networks (FNNs) [26], higher-order neural networks(HONNs) [38–40], and genetic algorithms (GAs) ...
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Higher Order Recurrent Neural Network for Language Modeling
... The network is acti- vated by providing an input to some or all of the nodes, and this activation then spreads throughout the network along the weighted ...feed-forward neural networks ...
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Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
... its higher-order variants (Morris, Kersting, and Mutzel ...upon neural networks have been proposed. Most of the neural approaches fit into the graph neural network framework ...
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Digital Modulation Classification Using the Bees Algorithm and Probabilistic Neural Network Based on Higher Order Statistics
... artificial neural networks as classifiers, outperform the ...time order of the key features does not affect the probability of the correct decision about modulation type of a ...different order in ...
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Higher order neural networks for financial time series prediction
... In order to predict the upcoming trends of univariate financial time series signals, three HONNs models; the Pi-Sigma Neural Network, the Functional Link Neural Network, and the Ri[r] ...
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Neural Network for Classification of Multi-User Chirp Modulation Signals using Wavelet Higher Order Statistics Features
... wavelet higher order statistics features and neural network classifier ...even higher order moments and cumulants up to order eight from the discrete wavelet transform ...
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Application of Power Spectrum, Cepstrum, Higher Order Spectrum and Neural Network Analyses for Induction Motor Fault Diagnosis
... of higher order spectra) analysis are compared each ...backpropagation neural network was used and the satisfactory detection probability was ...plus neural network should ...
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ENHANCEMENT OF SPEECH RECOGNITION SYSTEM USING HIGHER ORDER LINEAR PREDICTIVE CODING OVER CONVOLUTIONAL NEURAL NETWORK
... high order linear predictive coding based speech recognition framework in comparison to the artificial neural networks (ANNs) with a multiple-layer deep ...high order linear predictive coding ...
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Application of Power Spectrum, Cepstrum, Higher Order Spectrum and Neural Network Analyses for Induction Motor Fault Diagnosis
... Figure 16 shows a vibration bispectrum of a healthy induction motor. It can be seen that only two significant peaks appear around [300Hz, 550Hz] and [550Hz, 300Hz], and two minor peaks at [300Hz, 850Hz] and [850Hz, 300 ...
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Application of Higher Order Neural Networks to Financial Time Series Prediction
... of neural networks that utilize adaptive activation ...recurrent network, in order to recognize (classify) dynamic rather than static input ...of network nodes and weights across time leads to ...
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Chaotic Time Series Forecasting Using Higher Order Neural Networks
... of higher order neural networks (HONNs) to forecast benchmark chaotic time ...link neural network (FLNN) and pi-sigma neural network ...and neural networks ...
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Predicting students’ results in higher education using a neural network
... the network and 200 for testing the network. The neural network was a multilayer perceptron (MLP) with one input layer, two hidden layers and one output layer and it was trained using a ...
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Neural Units with Higher Order Synaptic Operations for Robotic Image Processing Applications
... 2. NEURAL UNITS WITH HIGHER- ORDER SYNAPTIC OPERATION Most neural networks employ linear neurons or neural units, which have a linear correlation between the input vector and the ...
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Numerical Solution of Sixth Order Differential Equations Arising in Astrophysics by Neural Network
... Although these numerical methods provide good approximations to the solution, they may be challenging for problems on a higher dimension. In recent years, many researchers tried to devise new methods for solving ...
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Neural Network Based Order Statistic Processing Engines
... ABSTRACT Order statistic filters are used often in the applications of science and engineering ...feed-forward neural network to approximate minimum, median and maximum ...of order statistic ...
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EEG investigation into the neural mechanisms involved in higher order decision-making
... the neural networks that underlie the decision-making process plays an integral part in understanding to what extent these networks are informed by conscious perception and to what extent they rely on internal ...
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Scalable Neural Network Decoders for Higher Dimensional Quantum Codes
... Training: It is not clear how the CNN should decide which qubits to flip, thus a natural approach would be optimizing the CNN to achieve the best memory time. However, we decide to explicitly train the CNN to esti- mate ...
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Design of Order Demand Forecasting System Based on Neural Network
... the order change rules accurately. In order to improve the prediction accuracy, neural network and gray theory are combined to construct a gray neural network order ...
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